Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Sweden
- Germany
- Norway
- Netherlands
- Spain
- United Kingdom
- China
- Denmark
- Italy
- Belgium
- Finland
- Poland
- Portugal
- Singapore
- Austria
- Hong Kong
- Japan
- Ireland
- Morocco
- United Arab Emirates
- Canada
- Czech
- Switzerland
- Australia
- Andorra
- Armenia
- Brazil
- Croatia
- Cyprus
- Estonia
- Greece
- India
- Lithuania
- Luxembourg
- Mexico
- Romania
- Saudi Arabia
- Slovakia
- Uzbekistan
- 31 more »
- « less
-
Program
-
Field
-
8 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Physique des Particules de Marseille Research Field Mathematics History » History of science Researcher Profile First Stage
-
to introduce world-class industrial data/AI applications into industry. Job requirements BSc (HBO), MSc. (or Ph.D.) in Data Science, Computer Science, Applied Mathematics, Engineering, Physics
-
, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ Minimum Required Qualifications: Bachelor's degree in
-
, Molecular Biology, Chemistry, Biotechnology, Biophysics or related for the preparation of a Master's thesis for a duration of 6 months. The topic of the thesis is “Optimization of DNA Synthesis via
-
recognized for their research in a variety of fields, including polymer science, cosmology, mathematical finance, and neuroscience. The Compact Muon Solenoid (CMS) group in the Physics Department is seeking a
-
expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
-
departments spanning the liberal arts. SAS offers more than 100 majors and minors across the life sciences, humanities, social and behavioral sciences, and mathematical and physical sciences with research
-
chip quality and reliability while optimizing overall test costs. The platform enables faster and more accurate diagnosis and yield learning, reduces in-field failures in various critical applications
-
qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good understanding of numerical methods and scientific
-
staff position within a Research Infrastructure? No Offer Description The selected candidate will develop innovative and efficient resource optimization algorithms, suitable for this context, with cost